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Efficient constructive and composite heuristics for the Permutation Flowshop to minimise total earliness and tardiness
Affiliation:1. State Key Laboratory of Digital Manufacturing Equipment & Technology, Huazhong University of Science & Technology, Wuhan 430074, PR China;2. School of Computer Science, Liaocheng University, Liaocheng 252000, PR China;1. Management Department, Federal Institute of São Paulo, Mutinga avenue, 951, São Paulo 05110-000, SP, Brazil;2. Department of Industrial Engineering, São Carlos School of Engineering, University of São Paulo, Trabalhador São-carlence avenue, 400, São Carlos 13566-590, SP, Brazil;1. Industrial Management, School of Engineering, University of Seville, Spain;2. DICAR - University of Catania, Spain
Abstract:In this paper we address the problem of scheduling jobs in a permutation flowshop with a just-in-time objective, i.e. the minimisation of the sum of total tardiness and total earliness. Since the problem is NP-hard, there are several approximate procedures available for the problem, although their performance largely depends on the due dates of the specific instance to be solved. After an in-depth analysis of the problem, different cases or sub-problems are identified and, by incorporating this knowledge, four heuristics are proposed: a fast constructive heuristic, and three different local search procedures that use the proposed constructive heuristic as initial solution.The proposed Prod. Type: FLPheuristics have been compared on an extensive set of instances with the best-so-far heuristic for the problem, as well as with adaptations of efficient heuristics for similar scheduling problems. The computational results show the excellent performance of the proposed algorithms. Finally, the positive impact of the efficient heuristics is evaluated by including them as seed sequences for one of the best metaheuristic for the problem.
Keywords:Scheduling  Flowshop  Heuristics  PFSP  Earliness  Tardiness
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